The DOI matches its Crossref record; 93 of the 96 references it cites were found in a registry or an index.
Diffusion Tensor Imaging (DTI)-based White Matter Mapping in Brain Research: A Review
Abstract
Diffusion tensor imaging (DTI) has become one of the most popular MRI techniques in brain research, as well as in clinical practice. The number of brain studies with DTI is growing steadily and, over the last decade, has produced more than 700 publications. Diffusion tensor imaging enables visualization and characterization of white matter fascicli in two and three dimensions. Since the introduction of this methodology in 1994, it has been used to study the white matter architecture and integrity of the normal and diseased brains (multiple sclerosis, stroke, aging, dementia, schizophrenia, etc.). Although it provided image contrast that was not available with routine MR techniques, unique information on white matter and 3D visualization of neuronal pathways, many questions were raised regarding the origin of the DTI signal. Diffusion tensor imaging is constantly validated, challenged, and developed in terms of acquisition scheme, image processing, analysis, and interpretation. While DTI offers a powerful tool to study and visualize white matter, it suffers from inherent artifacts and limitations. The partial volume effect and the inability of the model to cope with non-Gaussian diffusion are its two main drawbacks. Nevertheless, when combined with functional brain mapping, DTI provides an efficient tool for comprehensive, noninvasive, functional anatomy mapping of the human brain. This review summarizes the development of DTI in the last decade with respect to the specificity…
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“For example, many factors (e.g., cell death, edema, gliosis, inflammation, change in myelination, increase in connectivity of crossing fibers, increase in extracellular or intracellular water, etc.) may cause changes in FA (Assaf and Pasternak, 2008; Jones et al., 2013; Le Bihan and Johansen-Berg, 2012).”
From Quantitative mapping of the brain’s structural connectivity using diffusion MRI tractography: A review (2022) · cites this paper as Assaf and Pasternak, 2008
Citations
Cites
MR diffusion tensor spectroscopy and imaging
Basser, P. J., Mattiello, J., & LeBihan, D. (1994) · Biophysical Journal · doi:10.1016/s0006-3495(94)80775-1 · Cited by 5,970
The basis of anisotropic water diffusion in the nervous system—A technical review.
Beaulieu, C. (2002) · NMR in Biomedicine · doi:10.1002/nbm.782 · Cited by 4,628
Basser, P. J., & Pierpaoli, C. (1996) · Journal of Magnetic Resonance, Series B · doi:10.1006/jmrb.1996.0086 · Cited by 4,306
Principles of Nuclear Magnetic Resonance Microscopy
Callaghan, P. T. (1991) · doi:10.1093/oso/9780198539445.001.0001 · Cited by 3,614
Three-dimensional tracking of axonal projections in the brain by magnetic resonance imaging
Mori, S., Crain, B. J., Chacko, V. P., & van Zijl, P. C. M. (1999) · Annals of Neurology · doi:10.1002/1531-8249(199902)45:2 · Cited by 3,513
Diffusion tensor MR imaging of the human brain
Pierpaoli, C., Jezzard, P., Basser, P. J., Barnett, A., & Di Chiro, G. (1996) · Radiology · doi:10.1148/radiology.201.3.8939209 · Cited by 2,664
Jensen, J. H., Helpern, J. A., Ramani, A., Lu, H., & Kaczynski, K. (2005) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20508 · Cited by 2,488
American Journal of Neuroradiology
(2020) · American Journal of Neuroradiology · doi:10.3174/ajnr · Cited by 2,468
Toward a quantitative assessment of diffusion anisotropy
Pierpaoli, C. M., & Basser, P. J. (1996) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910360612 · Cited by 2,392
Tuch, D. S. (2004) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20279 · Cited by 1,880
Research works printed but not linked: 3
- Basser, P. J., Pajevic, S., Pierpaoli, C., Duda, J., & Aldroubi, A. (2000). In vivo fiber tractography using DT-MRI data. Magnetic Resonance in Medicine, 44, 625–632. · DOI
- Pasternak, O., Sochen, N., & Assaf, Y. (2004). Separation of white matter fascicles from diffusion MRI using -functional regularization. Proceedings of the International Society for Magnetic Resonance in Medicine, 12, 1227.
- Pasternak, O., Sochen, N., & Assaf, Y. (2006). PDE based estimation and regularization of multiple diffusion tensor fields. In J. Weickert & H. Hagen (Eds.), Visualization and image processing of tensor fields. Berlin: Springer.
Cited by
Sorted by citations
Items 201–300 of 1,000
Diffusion tensor imaging of peripheral nerves
Jambawalikar, S., Baum, J., Button, T. M., Li, H., Geronimo, V., & Gould, E. S. (2010) · Skeletal Radiology · doi:10.1007/s00256-010-0974-5 · Cited by 69
Menning, S., de Ruiter, M. B., Veltman, D. J., Boogerd, W. J., Oldenburg, H. S. A., Reneman, L., & Schagen, S. B. (2017) · Brain Imaging and Behavior · doi:10.1007/s11682-017-9695-x · Cited by 71
Chen, Z., Tie, Y., Olubiyi, O. I., Rigolo, L., Mehrtash, A., Norton, I. H., Pasternak, O., Yogesh Rathi, A., Golby, A. J., & O’Donnell, L. J. (2015) · NeuroImage Clinical · doi:10.1016/j.nicl.2015.03.009 · Cited by 68
Self-citationReview of Diffusion MRI Studies in Chronic White Matter Diseases
Raja, R., Rosenberg, G., & Caprihan, A. (2018) · Neuroscience Letters · doi:10.1016/j.neulet.2018.12.007 · Cited by 67
Kumar, P., Kathuria, P., Nair, P., & Prasad, K. (2016) · Journal of Stroke · doi:10.5853/jos.2015.01186 · Cited by 66
Englander, Z. A., Sun, J. M., Case, L. E., Mikati, M. A., Kurtzberg, J., & Song, A. W. (2015) · NeuroImage Clinical · doi:10.1016/j.nicl.2015.01.002 · Cited by 66
End-Stage Renal Disease: In Vivo Diffusion-Tensor Imaging of Silent White Matter Damage
Hsieh, T.-J., Chang, J., Chuang, H., Ko, C., Hsieh, M.-L., Liu, G.-C., & Hsu, J. (2009) · Radiology · doi:10.1148/radiol.2523080484 · Cited by 66
DiffusionKit: A light one-stop solution for diffusion MRI data analysis
Xie, S., Chen, L., Zuo, N., & Jiang, T. (2016) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2016.08.011 · Cited by 66
Family Income, Cumulative Risk Exposure, and White Matter Structure in Middle Childhood
Dufford, A. J., & Kim, P. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00547 · Cited by 69
Tønnesen, S., Kaufmann, T., de Lange, A. G., Richard, G., Doan, N. T., Alnæs, D., van der Meer, D., Rokicki, J., Moberget, T., Maximov, I. I., et al. (2020) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2020.06.014 · Cited by 66
White-matter free-water diffusion MRI in schizophrenia: A systematic review and meta-analysis
Carreira Figueiredo, I., Borgan, F., Pasternak, O., Turkheimer, F. E., & Howes, O. D. (2022) · Neuropsychopharmacology · doi:10.1038/s41386-022-01272-x · Cited by 65
Self-citationScaffolds to promote spinal cord regeneration
Sakiyama‐Elbert, S. E., Johnson, P., Hodgetts, S. I., Plant, G. W., & Harvey, A. R. (2012) · Handbook of clinical neurology · doi:10.1016/b978-0-444-52137-8.00036-x · Cited by 65
White matter integrity and cognition in mild traumatic brain injury following motor vehicle accident
Xiong, K., Zhu, Y., Zhang, Y., Yin, Z., Zhang, J., Qiu, M., & Zhang, W. (2014) · Brain Research · doi:10.1016/j.brainres.2014.10.030 · Cited by 65
White Matter and Cognitive Decline in Aging: A Focus on Processing Speed and Variability
Nilsson, J., Thomas, A. J., O'Brien, J. T., & Gallagher, P. (2014) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617713001458 · Cited by 70
Sousa, H., Almeida, S. S., Bessa, J. M., & Pereira, M. G. (2020) · Neuropsychology Review · doi:10.1007/s11065-020-09441-9 · Cited by 64
Diffusion-Weighted Imaging in Mild Traumatic Brain Injury: A Systematic Review of the Literature
Lindsey, H. M., Hodges, C. B., Greer, K. M., Wilde, E. A., & Merkley, T. L. (2021) · Neuropsychology Review · doi:10.1007/s11065-021-09485-5 · Cited by 65
Kaklauskas, A., Abraham, A., Ubartė, I., Klıukas, R., Luksaite, V., Binkytė-Vėlienė, A., Vetloviene, I., & Kaklauskiene, L. (2022) · Sensors · doi:10.3390/s22207824 · Cited by 76
A quantitative method for evaluating cortical responses to electrical stimulation
Crowther, L. J., Brunner, P., Kapeller, C., Guger, C., Kamada, K., Bunch, M. E., Frawley, B. K., Lynch, T. M., Ritaccio, A. L., & Schalk, G. (2018) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2018.09.034 · Cited by 65
The autism/neuroprotection-linked ADNP/NAP regulate the excitatory glutamatergic synapse
Sragovich, S., Malishkevich, A., Piontkewitz, Y., Giladi, E., Touloumi, O., Lagoudaki, R., Grigoriadis, N., & Gozes, I. (2019) · Translational Psychiatry · doi:10.1038/s41398-018-0357-6 · Cited by 60
Borsook, D., Hargreaves, R. J., & Becerra, L. R. (2011) · Expert Opinion on Drug Discovery · doi:10.1517/17460441.2011.584529 · Cited by 63
Ito, K., Ohtsuka, C., Yoshioka, K., Kameda, H., Yokosawa, S., Sato, R., Terayama, Y., & Sasaki, M. (2017) · Neuroradiology · doi:10.1007/s00234-017-1870-7 · Cited by 62
Xiong, K., Zhu, Y., & Zhang, W. (2014) · Brain Imaging and Behavior · doi:10.1007/s11682-013-9288-2 · Cited by 63
Chapman, C. H., Nazem‐Zadeh, M., Lee, O. E., Schipper, M. J., Tsien, C. I., Lawrence, T. S., & Cao, Y. (2013) · PLoS ONE · doi:10.1371/journal.pone.0057768 · Cited by 64
Spoletini, I., Cherubini, A., Di Paola, M., Banfi, G., Rüsch, N., Martinotti, G., Bria, P., Rubino, I. A., Siracusano, A., Caltagirone, C., et al. (2009) · Schizophrenia Research · doi:10.1016/j.schres.2008.11.011 · Cited by 62
Jang, S. H., Kim, K., Kim, S. H., Son, S. M., Jang, W. H., & Kwon, H. G. (2014) · Neuroscience Letters · doi:10.1016/j.neulet.2014.04.044 · Cited by 62
The evolution of brain surgery on awake patients
Surbeck, W., Hildebrandt, G., & Duffau, H. (2014) · Acta Neurochirurgica · doi:10.1007/s00701-014-2249-8 · Cited by 62
Najac, C., Branzoli, F., Ronen, I., & Valette, J. (2014) · Brain Structure and Function · doi:10.1007/s00429-014-0968-5 · Cited by 62
Gao, W., Jiao, Q., Qi, R., Zhong, Y., Lu, D., Xiao, Q., Lu, S., Xu, C., Zhang, Y., Liu, X., et al. (2013) · Journal of Affective Disorders · doi:10.1016/j.jad.2013.02.021 · Cited by 60
Resilience and corpus callosum microstructure in adolescence
Galinowski, A., Miranda, R., Lemaître, H., Martinot, J., Artiges, É., Vulser, H., Goodman, R., Penttilä, J., Struve, M., Barbot, A., et al. (2015) · Psychological Medicine · doi:10.1017/s0033291715000239 · Cited by 58
Models of the aging brain structure and individual decline
Ziegler, G. (2012) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2012.00003 · Cited by 63
Structural and Functional Imaging of the Human Olfactory System
Gottfried, J. A. (2015) · Wiley eBooks · doi:10.1002/9781118971758.ch13 · Cited by 60
White matter integrity differences in obesity: A meta-analysis of diffusion tensor imaging studies
Daoust, J., Schaffer, J., Zeighami, Y., Dagher, A., García‐García, I., & Michaud, A. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.07.020 · Cited by 64
Impact of glucose metabolism on the developing brain
Cacciatore, M., Grasso, E. A., Tripodi, R., & Chiarelli, F. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.1047545 · Cited by 72
Rapid eye movement sleep behavior disorder in Parkinson's disease: Magnetic resonance imaging study
Ford, A. H., Duncan, G. W., Firbank, M., Yarnall, A. J., Khoo, T. K., Burn, D. J., & O'Brien, J. T. (2013) · Movement Disorders · doi:10.1002/mds.25367 · Cited by 59
Kim, J. H., Ahn, S. H., Cho, Y. W., Kim, S. H., & Jang, S. H. (2015) · Journal of Head Trauma Rehabilitation · doi:10.1097/htr.0000000000000121 · Cited by 59
Ridley, B., Nagel, A. M., Bydder, M., Maarouf, A., Stellmann, J., Gherib, S., Verneuil, J., Viout, P., Guye, M., Ranjeva, J., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-22711-0 · Cited by 63
Advanced diffusion magnetic resonance imaging in patients with Alzheimer's and Parkinson's diseases
Kamagata, K., Andica, C., Hatano, T., Ogawa, T., Takeshige‐Amano, H., Ogaki, K., Akashi, T., Hagiwara, A., Fujita, S., & Aoki, S. (2020) · Neural Regeneration Research · doi:10.4103/1673-5374.276326 · Cited by 61
Neuroimaging in repetitive brain trauma
Ng, T. S. C., Lin, A. P., Koerte, I. K., Pasternak, O., Liao, H. V., Merugumala, S. K., Sylvain Bouix, A., & Shenton, M. E. (2014) · Alzheimer s Research & Therapy · doi:10.1186/alzrt239 · Cited by 66
Self-citationDonald, K. A., Roos, A., Fouché, J., Koen, N., Howells, F. M., Woods, R. P., Zar, H. J., Narr, K. L., & Stein, D. J. (2015) · Acta Neuropsychiatrica · doi:10.1017/neu.2015.35 · Cited by 57
Sun, G., Chen, X., Zhao, Y., Wang, F., Hou, B., Wang, Y., Song, Z., Wang, D., & Xu, B. (2011) · Neurosurgery · doi:10.1227/neu.0b013e3182274841 · Cited by 57
Klauser, P., Xin, L., Fournier, M., Griffa, A., Cleusix, M., Jenni, R., Cuénod, M., Rolf Gruetter, A., Hagmann, P., Conus, P., et al. (2018) · Translational Psychiatry · doi:10.1038/s41398-018-0266-8 · Cited by 61
Diffusion Tensor Imaging Studies on Arcuate Fasciculus in Stroke Patients: A Review
Jang, S. H. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00749 · Cited by 62
Hybrid Diffusion Imaging in Mild Traumatic Brain Injury
Wu, Y., Mustafi, S. M., Harezlak, J., Kodiweera, C., Flashman, L. A., & McAllister, T. W. (2018) · Journal of Neurotrauma · doi:10.1089/neu.2017.5566 · Cited by 62
MRI of neuronal network structure, function, and plasticity
Voss, H. U., & Schiff, N. D. (2009) · Progress in brain research · doi:10.1016/s0079-6123(09)17532-5 · Cited by 54
Santis, S. D., Assaf, Y., Evans, C. J., & Jones, D. (2014) · Magnetic Resonance in Medicine · doi:10.1002/mrm.24717 · Cited by 53
Self-citationMagnoni, S., Donald, C. L. M., Esparza, T. J., Conte, V., Sorrell, J., Macrì, M., Bertani, G., Biffi, R., Costa, A., Sammons, B., et al. (2015) · Brain · doi:10.1093/brain/awv152 · Cited by 55
Dorsal Visual Pathway Changes in Patients with Comitant Extropia
Yan, X., Lin, X., Wang, Q., Zhang, Y., Chen, Y., Song, S., & Jiang, T. (2010) · PLoS ONE · doi:10.1371/journal.pone.0010931 · Cited by 55
Edden, R. A. E., & Jones, D. K. (2011) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2011.07.025 · Cited by 54
White matter hyperintensities in mid-adult life
Sachdev, P. S., Chen, X., & Wen, W. X. (2008) · Current Opinion in Psychiatry · doi:10.1097/yco.0b013e3282f945d5 · Cited by 55
Diffusion Tensor Imaging (DTI) Findings Following Pediatric Non-Penetrating TBI: A Meta-Analysis
Roberts, R., Mathias, J. L., & Rose, S. (2014) · Developmental Neuropsychology · doi:10.1080/87565641.2014.973958 · Cited by 56
In vivo diffusion tensor magnetic resonance imaging and fiber tracking of the mouse brain
Harsan, L. A., Paul, D., Schnell, S., Kreher, B. W., Hennig, J., Staiger, J. F., & von Elverfeldt, D. (2010) · NMR in Biomedicine · doi:10.1002/nbm.1496 · Cited by 58
Recent Advances in Explainable Artificial Intelligence for Magnetic Resonance Imaging
Qian, J., Li, H., Wang, J., & He, L. (2023) · Diagnostics · doi:10.3390/diagnostics13091571 · Cited by 57
White Matter Tracts of Speech and Language
Smits, M., Jiskoot, L. C., & Papma, J. M. (2014) · Seminars in Ultrasound CT and MRI · doi:10.1053/j.sult.2014.06.008 · Cited by 57
Tate, D. F., Conley, J. J., Paul, R. H., Coop, K., Zhang, S., Zhou, W., Laidlaw, D. H., Taylor, L. E., Flanigan, T., NAVIA, B. A., et al. (2010) · Brain Imaging and Behavior · doi:10.1007/s11682-009-9086-z · Cited by 58
Tran, L. T., Roos, A., Fouché, J., Koen, N., Woods, R. P., Zar, H. J., Narr, K. L., Stein, D. J., & Donald, K. A. (2016) · Medicine · doi:10.1097/md.0000000000002577 · Cited by 53
Fingher, N., Dinstein, I., Ben‐Shachar, M., Haar, S., Dale, A. M., Eyler, L. T., Pierce, K., & Courchesne, E. (2017) · Cortex · doi:10.1016/j.cortex.2016.12.024 · Cited by 56
QSI and DTI of excised brains of the myelin-deficient rat
Bar‐Shir, A., Duncan, I. D., & Cohen, Y. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.06.019 · Cited by 52
Assessment of white matter abnormalities in paranoid schizophrenia and bipolar mania patients
Cui, L., Chen, Z., Deng, W., Huang, X., Li, M., Ma, X., Huang, C., Jiang, L., Wang, Y., Wang, Q., et al. (2011) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2011.03.010 · Cited by 53
Evidence of Corticospinal Tract Injury at Midbrain in Patients With Subarachnoid Hemorrhage
Yeo, S. S., Choi, B. Y., Chang, C. H., Kim, S. H., Jung, Y., & Jang, S. H. (2012) · Stroke · doi:10.1161/strokeaha.112.661116 · Cited by 53
A longitudinal fixel-based analysis of white matter alterations in patients with Parkinson's disease
Rau, Y.-A., Wang, S., Tournier, J., Lin, S., Lu, C., Weng, Y.-H., Chen, Y.-L., Ng, S., Yu, S.-W., Wu, Y.-M., et al. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.102098 · Cited by 52
Diffusion Imaging of Sport-related Repetitive Head Impacts—A Systematic Review
Koerte, I. K., Wiegand, T. L. T., Bonke, E. M., Kochsiek, J., & Shenton, M. E. (2022) · Neuropsychology Review · doi:10.1007/s11065-022-09566-z · Cited by 61
Tshibanda, L., Vanhaudenhuyse, A., Damien Galanaud, E., Boly, M., Laureys, S., & Puybasset, L. (2009) · Progress in brain research · doi:10.1016/s0079-6123(09)17715-4 · Cited by 52
Qi, R., Zhang, L. J., Zhong, J., Zhu, T., Zhang, Z., Xu, C., Zheng, G., & Lu, G. (2013) · European Radiology · doi:10.1007/s00330-013-2963-2 · Cited by 52
Structural correlates of memory performance with diffusion tensor imaging
Sasson, E., Doniger, G. M., Pasternak, O., & Assaf, Y. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.12.079 · Cited by 53
Self-citationMolecular and Therapeutic Aspects of Hyperbaric Oxygen Therapy in Neurological Conditions
Fischer, I., & Barak, B. (2020) · Biomolecules · doi:10.3390/biom10091247 · Cited by 56
Choi, G., Kwak, S., Lee, H., & Chang, M. (2018) · Journal of Rehabilitation Medicine · doi:10.2340/16501977-2321 · Cited by 51
The effect of metric selection on the analysis of diffusion tensor MRI data
Pasternak, O., Sochen, N., & Basser, P. J. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.10.071 · Cited by 51
Self-citationSleep reverts changes in human gray and white matter caused by wake-dependent training
Bernardi, G., Cecchetti, L., Siclari, F., Buchmann, A., Yu, X., Handjaras, G., Bellesi, M., Ricciardi, E., Kecskemeti, S., Riedner, B. A., et al. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.01.020 · Cited by 50
Homeostatic plasticity and emergence of functional networks in a whole-brain model at criticality
Rocha, R. P., Koçillari, L., Suweis, S., Corbetta, M., & Maritan, A. (2018) · Scientific Reports · doi:10.1038/s41598-018-33923-9 · Cited by 50
Wu, C., Ng, S., Wang, J., & Liu, T.-C. (2009) · American Journal of Neuroradiology · doi:10.3174/ajnr.a1681 · Cited by 51
Anisotropic anomalous diffusion assessed in the human brain by scalar invariant indices
Santis, S. D., Gabrielli, A., Bozzali, M., Maraviglia, B., Macaluso, E., & Capuani, S. (2010) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22689 · Cited by 49
Veenith, T., Carter, E., Grossac, J., Newcombe, V., Outtrim, J. G., Lupson, V. C., Williams, G. B., Menon, D. K., & Coles, J. (2013) · PLoS ONE · doi:10.1371/journal.pone.0065941 · Cited by 49
Optogenetic approaches for functional mouse brain mapping
Lim, D. H., LeDue, J. M., Mohajerani, M. H., Vanni, M. P., & Murphy, T. H. (2013) · Frontiers in Neuroscience · doi:10.3389/fnins.2013.00054 · Cited by 49
Peters, D. M., Fridriksson, J., Stewart, J. C., Richardson, J. D., Rorden, C., Bonilha, L., Middleton, A., Gleichgerrcht, E. L., & Fritz, S. L. (2017) · Human Brain Mapping · doi:10.1002/hbm.23829 · Cited by 50
(2012) · doi:10.1007/978-3-7091-0723-2 · Cited by 50
Gao, J., Cheung, R. T. F., Lee, T. M. C., Chu, L., Chan, Y., Mak, H. K., Zhang, J. X., Qiu, D., Fung, G., & Cheung, C. (2011) · Journal of Alzheimer s Disease · doi:10.3233/jad-2011-101788 · Cited by 51
Glymphatic system function in patients with newly diagnosed focal epilepsy
Lee, D. A., Park, B. S., Ko, J., Park, S. H., Park, J., Kim, I. H., Lee, Y. J., & Park, K. M. (2022) · Brain and Behavior · doi:10.1002/brb3.2504 · Cited by 50
Powell, J., Parkes, L. M., Kemp, G. J., Sluming, V., Barrick, T. R., & García‐Fiñana, M. (2012) · Neuroscience · doi:10.1016/j.neuroscience.2012.01.016 · Cited by 47
Diffusion tensor imaging in blepharospasm and blepharospasm-oromandibular dystonia
Yang, J., Luo, C., Song, W., Guo, X., Zhao, B., Chen, X., Huang, X., Gong, Q., & Shang, H. (2014) · Journal of Neurology · doi:10.1007/s00415-014-7359-y · Cited by 48
Kuhnt, D., Bauer, M., Sommer, J. B., Merhof, D., & Nimsky, C. (2013) · PLoS ONE · doi:10.1371/journal.pone.0070973 · Cited by 48
Ho, N. F., Li, Z., Ji, F., Wang, M., Kuswanto, C. N., Sum, M. Y., Tng, H. Y., Sitoh, Y. Y., Sim, K., & Zhou, J. H. (2017) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.160090 · Cited by 48
Shapey, J., Vos, S. B., Vercauteren, T. K., Bradford, R., Saeed, S. R., Bisdas, S., & Sebastien Ourselin, A. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00023 · Cited by 50
Jütten, K., Mainz, V., Gauggel, S., Patel, H., Binkofski, F., Wiesmann, M., Clusmann, H., & Na, C.-H. (2019) · Frontiers in Oncology · doi:10.3389/fonc.2019.00536 · Cited by 49
Bernardi, G., Cecchetti, L., Handjaras, G., Sani, L., Gaglianese, A., Ceccarelli, R., Franzoni, F., Galetta, F., Santoro, G., Goebel, R., et al. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00888 · Cited by 53
Diffuse Interstitial Brain Edema in Patients With End-Stage Renal Disease Undergoing Hemodialysis
Kong, X., Wen, J., Qi, R., Luo, S. J., Zhong, J., Chen, H., Ji, G., Lu, G., & Zhang, L. J. (2014) · Medicine · doi:10.1097/md.0000000000000313 · Cited by 47
Dimensions of Attention Associated With the Microstructure of Corona Radiata White Matter
Stave, E. A., Bellis, M. D. D., Hooper, S. R., Woolley, D. P., Chang, S. K., & Chen, S. D. (2017) · Journal of Child Neurology · doi:10.1177/0883073816685652 · Cited by 47
Keong, N. C. H., Peña, A., Price, S. J., Czosnyka, M., Czosnyka, Z. H., DeVito, E. E., Housden, C. R., Sahakian, B. J., & Pickard, J. D. (2017) · PLoS ONE · doi:10.1371/journal.pone.0181624 · Cited by 47
Kuchling, J., Backner, Y., Oertel, F. C., Raz, N., Bellmann–Strobl, J., Ruprecht, K., Paul, F., Levin, N., Brandt, A. U., & Scheel, M. (2018) · NeuroImage Clinical · doi:10.1016/j.nicl.2018.05.004 · Cited by 48
Kim, H. S., Park, J. W., Bai, D.-S., Jeong, J. Y., Hong, J. H., Son, S. M., & Jang, S. H. (2011) · Neurorehabilitation · doi:10.3233/nre-2011-0684 · Cited by 47
Chen, H., Liu, T., Zhao, Y., Zhang, T., Li, Y., Li, M., Zhang, H., Kuang, H., Guo, L., Tsien, J. Z., et al. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.04.050 · Cited by 46
Kumar, R., Waisberg, E., Ong, J., Paladugu, P., Amiri, D., Saintyl, J., Yelamanchi, J., Nahouraii, R., Jagadeesan, R., & Tavakkoli, A. (2024) · Brain Sciences · doi:10.3390/brainsci14121266 · Cited by 52
Isaac, L., Main, K., Soman, S., Gotlib, I. H., Furst, A. J., Kinoshita, L. M., Fairchild, J. K., Yesavage, J. A., Ashford, J. W., Bayley, P. J., et al. (2015) · Biological Psychology · doi:10.1016/j.biopsycho.2014.12.011 · Cited by 49
Hsu, W. W. Y., El-Saden, S. M., & Taira, R. K. (2016) · Advances in experimental medicine and biology · doi:10.1007/978-981-10-1503-8_8 · Cited by 46
Curran, K. M., Emsell, L., & Leemans, A. (2015) · Springer eBooks · doi:10.1007/978-1-4939-3118-7_5 · Cited by 45
Long, Y., Ouyang, X., Liu, Z., Chen, X., Hu, X., Lee, E. H. M., Chen, E. Y. H., Pu, W., Shan, B., & Rohrbaugh, R. M. (2018) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2018.00391 · Cited by 46
Monnig, M. A., Caprihan, A., Yeo, R. A., Gasparovic, C., Ruhl, D. A., Lysne, P. A., Bogenschutz, M. P., Hutchison, K. E., & Thoma, R. J. (2012) · Psychology of Addictive Behaviors · doi:10.1037/a0027168 · Cited by 46
Laothamatas, J., Sungkarat, W., & Hemachudha, T. (2011) · Advances in virus research · doi:10.1016/b978-0-12-387040-7.00014-7 · Cited by 45
Logical circularity in voxel‐based analysis: Normalization strategy may induce statistical bias
Tustison, N. J., Avants, B., Cook, P. A., Kim, J., Whyte, J., Gee, J. C., & Stone, J. R. (2012) · Human Brain Mapping · doi:10.1002/hbm.22211 · Cited by 44
Automated correction of improperly rotated diffusion gradient orientations in diffusion weighted MRI
Jeurissen, B., Leemans, A., & Sijbers, J. (2014) · Medical Image Analysis · doi:10.1016/j.media.2014.05.012 · Cited by 42
White matter microstructure integrity in relation to reading proficiency☆
Arrington, C. N., Kulesz, P. A., Juranek, J. J., Cirino, P. T., & Fletcher, J. M. (2017) · Brain and Language · doi:10.1016/j.bandl.2017.08.002 · Cited by 45
Metadata
- Authors
- Assaf, Y., & Pasternak, O.
- Affiliations
- Tel Aviv University (IL)
- Corresponding author
- Assaf, Yaniv
- Venue
- Journal of Molecular Neuroscience
- Published
- 2007-09-27
- Volume
- 34
- Issue
- 1
- Pages
- 51-61
- ISSN
- 0895-8696 (ISSN-L)
- 1559-1166
- OpenAlex
- W1997222702
- Cited by
- 1,537
- References
- 96
- Citations by year
- 2026: 50 · 2025: 113 · 2024: 94 · 2023: 93 · 2022: 96 · 2021: 138 · 2020: 101 · 2019: 102 · 2018: 85 · 2017: 95 · 2016: 86 · 2015: 90 · 2014: 91 · 2013: 71 · 2012: 64
- FWCI
- 3.82
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Journal of Molecular Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- ORCA Online Research @Cardiff (Cardiff University) (submittedVersion)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- diffusion tensor imaging, partial volume effect, non-Gaussian diffusion, functional brain mapping, white matter integrity, multiple sclerosis, stroke, dementia, schizophrenia, brain aging
- MeSH terms
- Brain, Brain Diseases, Brain Mapping, Humans, Image Processing, Computer-Assisted, Nerve Fibers, Myelinated, Neural Pathways, Predictive Value of Tests, Reproducibility of Results, Artifacts, Diffusion Magnetic Resonance Imaging
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review